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ODPi Grows Its Membership With International Set of Data-Driven Companies

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China Mobile, High Octane, Innovyt and LizardFS join mission to solidify ODPi as the essential Open Source companion for enterprise-wide production Hadoop

SAN JOSE – Strata + Hadoop World, March 14, 2017 – ODPi, a nonprofit organization accelerating the open ecosystem of big data solutions, today announced China Mobile, High Octane, Innovyt and LizardFS have joined as members to help companies unlock value from disparate data and continue advancing the standardization of Apache™ Hadoop® and related big data solutions.

According to Brian Hopkins, VP & principal analyst at Forrester Research, a revenue model built by the firm – which included speaking to hundreds of firms and pouring over three years of survey data with nearly 10,000 responses – conservatively forecasted that insights-driven businesses would earn about $400 billion in 2016; however, by 2020 they will be making over $1.2 trillion a year due to an astonishing compound annual growth rate between 27 percent and 40 percent.

“ODPi is committed to serving the big data ecosystem by facilitating standardization and ensuring Hadoop reaches its full potential as an enterprise-wide production big data platform,” said John Mertic, Director, ODPi. “We’re thrilled to have a breadth of companies from China, Belgium, Poland and the U.S. join our efforts in validating big data as a sustainable, long-term area of investment for organizations worldwide.”

These new members bring the ODPi network of collaborative big data startups, enterprise service providers and software-driven end users to more than 35 companies – signifying the ecosystem’s growing desire to make Hadoop accessible and ready for every organization around the world.

About the newest members:

China Mobile is the biggest telecom operator in the world. The open source offerings extended by China Mobile Software Technology, including Hadoop product and professional services, serve more than 826 million customers.

“Becoming a member of ODPi will not only make customers’ choices among various Hadoop distributions far easier, but it will also help to build their confidence in China Mobile’s Hadoop product,” said Shaoling Sun, Executive Vice President of China Mobile Software Technology. “As industry compliance is the top priority of our big data products, we hope to soon have a unified, standard Hadoop version of the interface built on the ODPi reference specification.”

High Octane is a Belgium-based consulting firm, focused on companies’ enterprise architecture to help strategize, materialize and execute on their big data visions.

“High Octane is proud to join ODPi, as the organization is close to the upstream projects and focuses on a long-term operational view,” said Philippe Back, founder of High Octane. “As long-time believers in open source software, ODPi is a great vendor-neutral venue for us to share our Hadoop insights and learn from the ecosystem feedback provided by end users and SIGs from the field.”

Innovyt is a big data consulting company specializing in advanced analytics, cloud and data science focused on ensuring its customers can implement modern data-driven applications using big data technologies. Its team is committed to building a set of solution-centric frameworks that will expedite the implementation of leading platforms, like Hadoop.

“ODPi’s initiative to create interoperability and compliance for production Hadoop are incredibly meaningful – as these will provide our customers with standards, best practices and a common language,” said Vineet Kumar, founder of Innovyt. “We look forward to learning and contributing to open standards through our partnership with ODPi.”

LizardFS – an open-source Distributed File System licensed under GPLv3 – was developed and distributed by Skytechnology in Warszawa, Poland. The scalable, fault-tolerant and highly-available file system ensures security by storing all data in many replicas spread across all available nodes and can be used to build affordable storage cluster.

“Our membership to ODPi will enable LizardFS to take part in creating an industry standard for big data solutions and resolving challenges the industry faces, especially as it relates to the storage of data,” said Simon Haly, CSO of LizardFS. “We’re eager to join the initiative’s efforts and look forward to the direction ODPi gives companies just starting their journey in this thriving ecosystem.”

Additional Resources

About ODPi

ODPi is a nonprofit organization committed to simplification and standardization of the big data ecosystem with a common reference specification. As a shared industry effort, ODPi members represent big data technology, solution provider and end user organizations focused on promoting and advancing the state of Apache Hadoop® and big data technologies for the enterprise. For more information about ODPi, please visit: http://www.ODPi.org

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Media Contact:

Natasha Woods

ODPi

pr@odpi.org

ODPi Publishes First Operations Specification To Provide Developers Consistency Across Application Management Tools

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Leveraging Apache Ambari, Apache Hive and Hadoop Compatible File System support, ODPi 2.0 Release Standardizes Deployment Model for Enterprise Big Data Solutions   

Seville, Spain – Apache: Big Data Europe, November 14, 2016 — ODPi, a nonprofit organization accelerating the open ecosystem of big data solutions, today announced the availability of ODPi 2.0, which includes the first release of the ODPi Operations Specification and the Runtime Specification 2.0, to standardize the development model for big data solution and application providers and help enterprises improve installation and management of Hadoop-based applications.

With more than 30 members, including recently announced DriveScale, Redoop, and Xavient Information Systems, ODPi is focused on simplification and standardization within the big data ecosystem and further advancing the work of the Apache Software Foundation. Designed to make it easier to create big data solutions and data-driven applications, ODPi adds Apache Hive and Hadoop Compatible File System support (HCFS) as part of the ODPi Runtime Specification 2.0. Additionally, the ODPi 2.0 release includes Operations Specification 1.0, which provides standard guidelines for application management tools serving as reference platforms; including Apache Ambari.

“With the release of the first Operations Specification, ODPi is moving standardization forward for Apache projects in a pragmatic, fluid way that embraces developer input,” said John Mertic, Director of ODPi. “ODPi specifications are based input from developers and enterprises and how they are actually big data technologies in production environment and address real issues they’ve encountered. Our technical team developed this latest release knowing that the SQL layer, backend storage, and how applications should be installed, managed and configured in a Apache Hadoop cluster are important to them. We’ll continue to iterate on previous releases and seek industry input to ensure that we are tackling the critical issues that benefit the wider big data ecosystem.”

Key ODPi Operations Specification 1.0 Technical Features

The ODPi Operations Specification 1.0 provides standard guidelines for application management tools, with Apache Ambari as a reference platform, the Apache Software Foundation project for provisioning, managing, and monitoring Apache Hadoop clusters. By providing common expectations in guidelines, developers are able to create data-driven applications for all management tools used by platform providers. For big data solution and application providers, this minimizes the complexity, cost and training needed to build big data applications.

ODPi community worked closely with the Apache Ambari community to develop the Operations Specification, ensuring backward compatibility with the standardization and alignment with the community’s needs. ODPi community further designed this spec such that other management tools could attain compliance.

Similar to Spark, Ambari is a rapidly changing project. In working on the latest release, ODPi’s technical team collected substantial Ambari institutional knowledge, which they’ve contributed to Ambari. The reference manual will help developers more easily write an application for Ambari to manage their applications.

Key ODPi Runtime Specification 2.0 Technical Features

ODPi Runtime Specification 2.0 adds Apache Hive and Hadoop Compatible File System support (HCFS) components to Yarn, MapReduce and HDFS from ODPi Runtime Specification 1.0. HCFS support will enable storage and cloud vendors to leverage ODPi standards, empowering them to use their native storage solutions as part of an ODPi Runtime Compliant Hadoop Platform and reduce the incompatibilities that end users face. By including Apache Hive, ODPi will reduce SQL query inconsistencies across Hadoop Platforms. ODPi based its work on Hive version 1.2 and has included core functionality that will continue to behave in a standard way for future versions of Apache Hive. For more on this addition, read ODPi technical steering committee chair Alan Gates’ blog.

ODPi Compatibility and Interoperability

Several Apache Hadoop platform and big data solution and application providers; including Ampool, Hortonworks, IBM, Pivotal, and SAS have committed to testing against ODPi 2.0 to become ODPi Compliant and ODPi Interoperable. They have the ability to test against both the Operations Specification 1.0 and Runtime Specification 2.0 separately; offering greater simplicity for big data solution and application providers. This option provides end-users greater choice and flexibility by fostering an open big data ecosystem that transcends traditional vendor alliances.

For more on how ODPi is helping enterprises boost the value they get from Hadoop and Big Data, read Rouda’s recent whitepaper and listen to the accompanying webinar.

Comments from Members

Ampool

“Since the founding of ODPi, Ampool has been committed to helping to drive standardization both in the organization and in how our data services interoperate with multiple Hadoop platforms. With the release of the first operations specification, we’re looking forward to submitting Ampool’s Active Data Store for compliance in the coming months.” – Milind Bhandarkar, Ph.D., Founder and CEO, Ampool

IBM

“There is a major shift occurring on how data is treated within their organization. Fundamentally, it is no longer about the persistent stores, data in Hadoop, data in operational database and real-time streaming. It is about how that data is accessed in trust and used within an organization. By working with ODPi and committing to provide these organizations with a compliant platform they can count on and interoperable software that sits on top of Hadoop, including IBM Big SQL, IBM SPSS Analytic Server, IBM Big Replicate, and others, we are helping our customers build their businesses.” – Ritika Gunnar, Vice President of Offerings, IBM Analytics

Pivotal

“Complying with the latest version of the ODPi specification simplifies how Apache HAWQ can query the vast quantities of data in the popular Apache Hive format, and allows us to seamlessly integrate configuration and administration through Apache Ambari. ODPi is allowing us to roll out compatibility features with the Apache Hadoop ecosystem at a much faster pace.” – Jacque Istok, Head of Data Engineering, Pivotal Software

SAS

“As an ODPi member, we are reinforcing our commitment to ensuring that SAS applications work with and exploit the Hadoop distribution of our customers’ choice – while being able to bank on the stability and quality expected in demanding business environments. The availability of ODPi 2.0 allows us to more efficiently support our customers, while also enhancing the installation and management of the SAS application within their Hadoop environment.” – Craig Rubendall, Vice President of Platform R&D, SAS

Additional Resources

About ODPi

ODPi is a nonprofit organization committed to simplification and standardization of the big data ecosystem with a common reference specification. As a shared industry effort, ODPi members represent big data technology, solution provider and end user organizations focused on promoting and advancing the state of Apache Hadoop® and big data technologies for the enterprise. For more information about ODPi, please visit: http://www.ODPi.org.

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Media Contact:

Natasha Woods

ODPi

(415) 312-5289

pr@odpi.org

DriveScale, Redoop, and Xavient Information Systems Join ODPi To Create Interoperable Big Data Ecosystem

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New members rally around compliance efforts to help organizations optimize and streamline Apache Hadoop implementations

Seville, Spain – Apache: Big Data Europe, November 14, 2016 – ODPi, a nonprofit organization accelerating the open ecosystem of big data solutions, today announced DriveScale, Redoop, and Xavient Information Systems have joined the organization to advance the simplification and standardization of Apache™ Hadoop® and related technologies.

With the incredible growth of Hadoop – forecasted to surpass $16 billion by 2020 – and related Apache project evolution, it has become difficult for developers to keep up with the pace of innovation. To make adoption of the platform more appealing to organizations looking to invest in big data technologies, ODPi members are committed to simplifying development and compatibility testing for applications.

“ODPi’s work to ensure interoperability of applications across a wide range of commercial Hadoop platforms is gaining momentum thanks to ongoing membership growth,” said John Mertic, director of program management, ODPi. “Hadoop has become a crucial part of any enterprise’s big data strategy. We are helping to mitigate complexity in the Hadoop ecosystem by facilitating standardization across big data technologies – ultimately spearheading newer and greater innovations.”

ODPi membership has grown to include more than 30 companies – encompassing industry-leading Apache Hadoop software companies, big data startups, enterprise service providers and end users.

About the newest members:

DriveScale provides a smarter way to build infrastructure for scale-out systems like Hadoop. Its composable data center architecture is provided via a set of on-premises and SaaS tools that coordinate between multiple levels of infrastructure. With DriveScale, companies can more easily support Hadoop deployments of any size, as well as other modern application workloads.

“Enterprises have varying big data needs that require flexible and interoperable platform components,” said Gene Banman, CEO of DriveScale. “Becoming a member of ODPi will allow us to better maximize data center efficiency for Hadoop with interoperability for enterprise-grade deployments.”

Redoop is a big data platform founded in China, devoted to ensuring enterprises reap the benefits of big data technology. Revolving around Hadoop Common to ensure a corresponding distributed system, Redoop provides the underlying optimization, system management, and data management to help enterprises build their own tailored data systems.

“Redoop believes that ODPi’s mission of creating a more open and interoperable ecosystem for current and potential Apache Hadoop users is meaningful to the entire big data community,” said XiaoJun Tong, founder of Redoop. “We look forward to joining the initiative and collaborating with its members for the benefit of our customers.”

Xavient is a global IT consulting and software services company, focusing on transforming business ideas into effective solutions. Xavient was among the first five solution and application providers to pledge a commitment to the ODPi Interoperable Compliance Program for its DiP (Data Ingestion Platform) – a real-time data analysis application – ensuring its ability to successfully run on multiple ODPi Runtime Compliant Platforms.

“Xavient is committed to providing customers with tailored capabilities and solution flexibility and making our real-time data analysis solution interoperable with ODPi Compliance Program applications was a natural next step,” said Neeraj Sabharwal, head of cloud, data & analytics at Xavient Information Systems. “We are thrilled to become a member of ODPi to contribute to an open big data ecosystem that transcends big vendor agendas.”

Additional Resources

About ODPi

ODPi is a nonprofit organization committed to simplification and standardization of the big data ecosystem with a common reference specification. As a shared industry effort, ODPi members represent big data technology, solution provider and end user organizations focused on promoting and advancing the state of Apache Hadoop® and big data technologies for the enterprise. For more information about ODPi, please visit: http://www.ODPi.org.

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Media Contact:

Natasha Woods

ODPi

(415) 312-5289

pr@odpi.org

Big Data Applications Now ODPi Interoperable, Provide Increased Simplicity To Hadoop Ecosystem

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Leading industry companies first to comply with big data industry standard; ODPi Runtime Specification 2.0 released with Apache Hive and HCFS

New York City, N.Y. – Strata + Hadoop World, September 27, 2016 — ODPi, a nonprofit organization accelerating the open ecosystem of big data solutions, today announced that solution and application providers DataTorrent, IBM, Pivotal, SAS, Syncsort, WANdisco, and Xavient have committed to the ODPi Interoperable Compliance Program. This makes it easier for enterprises to choose and adopt big data technologies and ensures these applications are interoperable across a wider range of commercial Apache™ Hadoop® Platforms.

“The implementation of complex environments is a major obstacle to organizations implementing big data. The new ODPi Interoperable Compliance Program is a big step in the right direction to help organizations mitigate the risk associated with Hadoop implementations,” said John L. Myers, Managing Research Director of Business Intelligence at Enterprise Management Associates. “Adding Apache Hive and Hadoop Compatible File System (HCFS) to the Runtime Specification 2.0 will enable the initiative to make continued progress toward the interoperability of these components and it will make Hadoop more appealing to the organizations looking to make the leap into big data initiatives.”

A dozen ODPi Interoperable applications have been tested to successfully run on multiple ODPi Runtime Compliant Platforms. Currently, Altiscale, ArenaData, Hortonworks, IBM, and Infosys Apache Hadoop Platforms are ODPi Runtime Compliant, offering greater simplicity for big data solution and application providers. ODPi programs give end-users greater choice and flexibility by fostering an open big data ecosystem that transcends traditional vendor alliances.

Additionally, ODPi announced today that the ODPi Runtime Specification 2.0 will add Apache Hive and Hadoop Compatible File System support (HCFS). These components join Yarn, MapReduce and HDFS from ODPi Runtime Specification 1.0. By including Apache Hive, which read, write, and manage large datasets residing in distributed storage, ODPi will reduce SQL query inconsistencies across Hadoop Platforms. ODPi will base its work on Hive version 1.2 and ensure there is core functionality that will continue to behave in a standard way for future versions of Apache Hive. HCFS support will enable storage and cloud vendors to leverage ODPi standards, letting them leverage their native storage solutions as part of an ODPi Runtime Compliant Hadoop Platform and reduce the incompatibilities that end-users face.

“As our work continues to complement the Apache Software Foundation, ODPi is helping the Hadoop ecosystem become more valuable to those who are testing and building big data applications. Through a common specification, we are enabling developers to easily write applications that sit on top of big data stacks, lowering the costs of interoperability across systems. These compliant applications should need little to no re-engineering to run on other ODPi Runtime Compliant platforms,” said John Mertic, Director of ODPi. “For enterprises, the benefits are increased efficiency, flexibility and smoother maintenance.”

ODPi Interoperability Guidelines and Testing

The ODPi Interoperable Compliance Program is an ongoing commitment between Apache Hadoop platforms, big data solution and application providers, and ODPi to ensure that the best practices outlined by the ODPi Specification Releases are adhered to for the benefit of enterprises; providing them flexibility of deployment and choice of solution. The ODPi Interoperable and ODPi Runtime Compliance programs guarantee that any software or application deemed ODPi Interoperable can run on any of the ODPi Runtime Compliant Apache Hadoop platforms. This makes operating a heterogeneous big data environment easier for enterprises.

Enterprises can easily obtain details regarding which versions of an application are ODPi Interoperable and which Apache Hadoop platforms are compliant by visiting ODPi For End Users.

Current ODPi Interoperable Applications include:

Big data solution or application providers Product/Version
SAS Base SAS v9.4m3
SAS SAS/Access Interface to Hadoop Version v9.4m3
WANdisco WANdisco Fusion 2.9; Always-On Enterprise Class Availability and Performance for Hadoop
Syncsort Syncsort DMX-h 9.0
DataTorrent DataTorrent Real Time Streaming
IBM IBM SPSS Analytic Server
IBM IBM Big SQL
IBM IBM Big Replicate
IBM IDR for Apache Hadoop
Pivotal Pivotal HDB powered by Apache HAWQ
Xavient DiP (Data Ingestion Platform)

Comments from Members

IBM

“ODPi is providing a common platform to develop big data apps, enabling interoperability across different distributions and application offerings. In that spirit, IBM is ensuring many of our Apache Hadoop related offerings are interoperable including IBM Big SQL, IBM SPSS Analytic Server, IBM Big Replicate, and others. By supporting interoperable applications, the value to clients of ODPi Compliant distributions is being enhanced.” – Ritika Gunnar, Vice President of Offerings, IBM Analytics

Pivotal

“Working with our customers, Pivotal developed Pivotal HDB based on Apache HAWQ, a fully SQL-92 compliant, native SQL engine running on Hadoop. Compatibility and standardization across multiple Hadoop distributions is among the many reasons why we focus on ODPi Compliant offerings, allowing us to more rapidly test, deploy, and innovate.” – Jacque Istok, Head of Data Engineering at Pivotal Software

SAS

“SAS is pleased to announce that we are the first software vendor to achieve the distinction of ODPi Interoperable. By declaring that SAS interfaces with Apache Hadoop in demonstrable, standard ways, we can reduce our customers’ risk, simplify testing complexity and speed time to value for anyone building or deploying SAS applications.” – Craig Rubendall, Vice President of Platform R&D at SAS and ODPi board member

Syncsort

“We are thrilled to be able to provide our customers with Syncsort DMX-h 9.0 as an ODPi Interoperable solution. Interoperability helps to streamline the development and testing process, which, in turn allows us to focus our resources on supporting our customers’ big data requirements.” – Arnie Farrelly, Vice President of Big Data Global Product Support and Services at Syncsort

WANdisco

“ODPi has eliminated significant risk for both developers and end users, by providing a set of standards that makes it possible for an ecosystem of interoperable, enterprise class big data applications to evolve and flourish. WANdisco (LSE:WAND) is extremely pleased to have achieved ODPi Interoperable compliance for Fusion 2.9 and become part of that ecosystem. Our patented replication technology reduces risk even further, by ensuring ODPi Compliant Hadoop Platforms deliver continuous availability and performance, benefitting every application deployed on them.”  – Jim Campigli, COO and Co-Founder at WANdisco

Xavient

“Customer-driven requirements resulted in the creation of DiP(Data Ingestion Platform), which is based on Hadoop and leverages many open source technologies like Kafka, Spark Streaming, Storm and components like HDFS, Hive, Zeppelin and HBase. We are focused on ODPi Compliant offerings because it provides us with a platform to test and deploy DiP on multiple Hadoop versions with an efficient testing process. DiP is a co-dev opportunity, so ODPi gives a structure to test the tool based on customer investment and use case.” – Neeraj Sabharwal, Director Cloud and Big Data at Xavient Information System

Additional Resources

About ODPi

ODPi is a nonprofit organization committed to simplification and standardization of the big data ecosystem with a common reference specification. As a shared industry effort, ODPi members represent big data technology, solution provider and end user organizations focused on promoting and advancing the state of Apache Hadoop® and big data technologies for the enterprise. For more information about ODPi, please visit: http://www.ODPi.org.

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Media Contact:

Natasha Woods

ODPi

(415) 312-5289

pr@odpi.org

Apache™ Hadoop® Distributions Now ODPi Runtime Compliant

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Altiscale, ArenaData, Hortonworks, IBM, and Infosys first to comply with industry standard for big data applications

SAN FRANCISCO, June 27, 2016ODPi, a nonprofit organization accelerating the open ecosystem of big data solutions, today announced that the Apache™ Hadoop® distributions products from Altiscale, ArenaData, Hortonworks, IBM, and Infosys are now ODPi Runtime Compliant. This ensures that their distributions provide big data application vendors a consistent set of base level expectations as defined by ODPi Runtime specification.

“Our members represent all key roles in the big data ecosystem – Apache Hadoop distros, ISVs, system integrators, solution providers and end users – and have brought their real-world experience in helping to align enterprise demands with the developer community,” said John Mertic, director of program management for ODPi. “Having Altiscale, ArenaData, Hortonworks, IBM, and Infosys declare compliance with the ODPi Runtime Specification is a strong step toward simplifying and standardizing the big data ecosystem to accelerate the delivery of business outcomes.”

ODPi’s work complements the Apache Software Foundation and helps companies use Apache Hadoop more effectively. The organization’s aim is to develop a cross-industry standard that enables developers to easily write applications that sit on top of big data stacks, lowering the costs of interoperability across systems.

ODPi Compliant Guidelines and Testing

Descending from Apache Hadoop 2.7, the Runtime Specification covers HDFS, YARN, and MapReduce components. It specifies how Apache components should be installed and configured and provides a set of tests for validation to make it easier to create big data solutions and data-driven applications.

To become ODPi compliant, the Apache Hadoop distributions submitted test results through a GitHub repository for specific products. To assist with compliance, ODPi provides a test suite and a reference build. The ODPi validation test suite guarantees that a distribution of Apache Hadoop from a compliant vendor or an end-user deployment of Apache Hadoop complies with the ODPi-defined specifications. The test framework and self-certification aligns closely with the Apache Software Foundation by leveraging Apache BigTop for comprehensive packaging, testing, and configuration.

Participation in the ODPi is open to anyone, with all work being done is public on GitHub. Developers can join the conversation on the mailing lists or Slack channel, as well as give feedback on the spec or provide tests for validating ODPi compliance.

What’s Next for ODPi

The ODPi Operations Specification to help enterprises improve installation and management of Apache Hadoop and Apache Hadoop-based applications will be available later this year. The Operations Specification leverages Apache Ambari as a reference project. Apache Ambari is an ASF project for provisioning, managing, and monitoring Apache Hadoop clusters.

Comments from Members

Altiscale

“The Apache Hadoop ecosystem is both expanding and evolving rapidly, which not only makes it hard for app developers to keep up with the wide variety of projects, it also makes it challenging for enterprise customers to commit to a Hadoop platform and agree on the capabilities that they need. The ODPi standard specification addresses these issues, providing a solid foundation and peace of mind to developers and enterprise customers. At Altiscale, we are excited to announce that the Altiscale Data Cloud is now officially ODPi Runtime compliant.” – Mike Maciag, COO at Altiscale

ArenaData

“As a small company running Apache Hadoop distributions and looking to expand in the Russian market, becoming ODPi Runtime compliant will help us provide current and future customers reassurance that their developing and testing applications will work across multiple platform providers.” – Dmitry Komarov, head of sales and marketing at ArenaData

EMC Corporation

“The compliance of various distributions and application vendors on the ODPi runtime is a milestone. It provides standardization and portability for developers as well as ISVs and cloud administrators. Ultimately the goal is to provide increased efficiency and lower maintenance impact. Our customers can expect much more flexibility in their deployments and choice of solutions.” – Smiti Sharma,  Product Lead, Virtustream Cloud Services, EMC

SAS

“With Apache Hadoop distributions becoming ODPi Runtime compliant, we are able to focus on developing innovative applications and solutions for our customers that are compatible with the Hadoop ecosystem.” – Craig Rubendall, vice president of platform R&D, SAS

Hortonworks

“We are proud to become ODPi Runtime compliant, which aligns with our Hortonworks Data Platform certification program. The ODPi common reference specs should lower the investment for application builders and increase the number of applications in the ecosystem, allowing us to provide greater value to our customers.” – Alan Gates, co-founder, Hortonworks

IBM

“ODPi is providing a common specification to develop big data apps, opening up choices for developers by enabling interoperability across different distribution and application offerings. Having this platform to count on, starting with a small, specific and consistent packaging model that lives within the ecosystem, is extremely valuable to application developers. This will be a key differentiator for IBM to serve customers, which is why we have become ODPi Runtime compliant.” – Ritika Gunnar, Vice President of Offerings, IBM Analytics

Infosys

“Infosys is focused on growing the adoption of big data technologies in the enterprise by making significant improvements in areas like development and deployment tools, performance and security. By becoming ODPi Runtime compliant, we are providing a compatible solution to our enterprise clients in Banking, Aeronautics and Retail.” – Navin Budhiraja, SVP, Head of Architecture and Technology at Infosys Limited

Additional Resources

About ODPi

ODPi is a nonprofit organization committed to simplification and standardization of the big data ecosystem with a common reference specification. As a shared industry effort, ODPi members represent big data technology, solution provider and end user organizations focused on promoting and advancing the state of Apache Hadoop® and big data technologies for the enterprise. For more information about ODPi, please visit: http://www.ODPi.org.

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Media Contact:

Natasha Woods
ODPi
(415) 312-5289
pr@odpi.org

ODPi Becomes Gold Sponsor of The Apache Software Foundation

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asf

Sponsorship cements ODPi’s support for the upstream Apache® Hadoop® development community

Vancouver, B.C. – Apache: Big Data, May 11, 2016 — ODPi, a nonprofit organization accelerating the open ecosystem of big data solutions, today announced it is a gold sponsor of The Apache Software Foundation (ASF), the all-volunteer developers, stewards, and incubators of more than 350 open source projects and initiatives. ODPi joins existing ASF sponsors: Hortonworks, IBM, Pivotal, and WANDisco, who are also ODPi members, in the industry effort to advance open source projects for the big data ecosystem.

Founded in February 2015, ODPi has always strived to build upon the innovative work of the ASF to help create a thriving and expanding Big Data ecosystem built around the success of Apache® Hadoop®. ODPi is committed on simplifying this growing ecosystem through the integration and standardization of a common reference platform called the ODPi Core, hence focusing on how to bring and deploy the different Apache projects together.

“We are pleased to welcome ODPi to the ASF Sponsorship program and their support of Apache big data projects,” said ASF Vice Chairman Greg Stein. “As analysts project that enterprises will fully embrace the Apache Hadoop ecosystem, Sponsor support is even more vital to our success in spearheading industry-leading innovations that are developed in a trusted, community-driven environment.”

ODPi has followed Apache big data projects, included Apache Hadoop in its Runtime Spec and Apache Bigtop in its test suite out this past March, as well as Apache Ambari in its Operation Spec due out this summer. Additionally, we are evaluating for future specs several other projects critical to advancing big data applications or providing the greatest impact on the greatest number of big data deployments. Guided by community and industry input, as a new crop of big data projects developed at the ASF mature, ODPi plans to incorporate additional upstream projects into ODPi Core.

“We are excited to sponsor the Apache Software Foundation to ensure ODPi is supporting development of the many projects in the Hadoop ecosystem,” said John Mertic, director of ODPi. “ODPi complements the work done in the Apache projects by focusing on easing integration and standardization for downstream application vendors and end-users that build upon Apache Hadoop. We believe our focus on the downstream Hadoop ecosystem helps oxygenate the big data market and stimulate growth.”

Additional Resources

About ODPi

ODPi is a nonprofit organization committed to simplification and standardization of the big data ecosystem with a common reference platform called ODPi Core. As a shared industry effort, ODPi members represent big data technology, solution provider and end user organizations focused on promoting and advancing the state of Apache Hadoop® and big data technologies for the enterprise. For more information about ODPi, please visit: http://www.ODPi.org.

“Apache”, “Ambari”, “Apache Ambari”, “Bigtop”, “Apache Bigtop”, “Hadoop”, and “Apache Hadoop” are registered trademarks or trademarks of the Apache Software Foundation in the United States and/or other countries. All other brands and trademarks are the property of their respective owners.

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Media Contact:

Natasha Woods
ODPi
(415) 312-5289
pr@odpi.org

4C Decision, ArenaData, and AsiaInfo Join ODPi To Promote Open Big Data Ecosystem

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New members support efforts to create open standards for Apache Hadoop to accelerate delivery of data-driven applications

SAN FRANCISCO, April 26, 2016ODPi, a nonprofit organization accelerating the open ecosystem of big data solutions, today announced that 4C Decision, ArenaData, and AsiaInfo, have joined the initiative to advance efforts to create a common reference specification called ODPi Core.

Many vendors have focused on productizing Apache Hadoop® as a distribution, which has led to inconsistency that increases the cost and complexity for application vendors and end-users to  fully embrace Apache Hadoop. Founded last year, ODPi is an industry effort to accelerate the adoption of Apache Hadoop and related big data technologies. ODPi’s members aim to streamline the development of analytics applications by providing a common specification with reference implementations and test suites.

“A wide range of ISVs are showing broad support and interest in ODPi’s work to build a common ODPi Core specification,” said John Mertic, director of program management, ODPi. “By continuing to add members, ODPi is raising the bar for standardization and interoperability across Apache Hadoop and big data technologies, which will enable organizations to more easily build enterprise-class applications and innovate higher up in the stack.”

ODPi is integrating a variety of upstream Apache projects, working across the Apache ecosystem to create a downstream reference specification to enable new Big Data solutions to be built.

This model work has worked with countless open source technologies experiencing rapid growth and ODPi aims to leverage this same model to increase adoption and open up opportunities for innovation on top of an already strong Apache Hadoop community.

The three new ODPi members will join a diverse and growing group of members that includes well-known Apache Hadoop software companies, service providers and end users, as well as a rapidly growing community of more than 35 maintainers from 30 companies.

About the newest members:

4C Decision is a full stack data, analytics, and technology service provider that helps companies establish best practices to store, manage and analyze their data efficiently. 4C Decision applies their extensive business intelligence experience across various industries to ensure their data meets the industry standards, such as UMDP (Uniform Mortgage Data Program) and Government Policy, such as HMDA (Home Mortgage Disclosure Act).

“4C Decision strives to provide business value for our customers by applying the most cutting edge technologies for big data, allowing them to foresee their next business decisions,” said Cupid Chan, managing partner at 4C Decision. “We see ODPi as a vital component to the big data ecosystem that will enable the future of business. We are excited to improve our client solutions by leveraging standardized ODPi components.”

ArenaData is the first open analytical platform leveraging 100 percent open components to replace legacy platforms or SNMP databases that are unable to scale at the speed modern business requires. ArenaData enables enterprises – that require an affordable solution for data gathering and analysis – to transform their ideas into new solutions and to unlock the potential of Big Data.

“As a small company running Apache Hadoop distributions and looking to expand in the Russian market, we believe ODPi’s work to bring standardization to Apache Hadoop will be very beneficial to the entire ecosystem,” said Dmitry Komarov, head of sales and marketing at ArenaData. “We look forward to collaborating with ODPi members and advancing an open ecosystem, which will help drive speed-to-innovation for our customers and beyond.”

AsiaInfo is a leading provider of Internet-based systems and software for the telecommunications industry. With more than 14,000 employees worldwide, the company provides a full suite of business and operations support systems and professional services to solve the business challenges of the future. Through its innovative BSS/OSS, Big Data, and security software products, AsiaInfo is driving the transformation of the telecoms industry into the new business Internet era.

Additional Resources

About ODPi

ODPi is a nonprofit organization committed to simplification and standardization of the big data ecosystem with a common reference platform called ODPi Core. As a shared industry effort, ODPi members represent big data technology, solution provider and end user organizations focused on promoting and advancing the state of Apache Hadoop® and big data technologies for the enterprise. For more information about ODPi, please visit: http://www.ODPi.org

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Media Contact:

Natasha Woods
ODPi
(415) 312-5289
pr@odpi.org

ODPi Publishes First Runtime Specification and Test Suite To Simplify and Expedite Development of Data-Driven Applications

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Leveraging Key Apache Hadoop® Components, ODPi Members Advance First Industry Standard Deployment Model for Enterprise Big Data Solutions  

SAN FRANCISCO, March 28, 2016–ODPi, a nonprofit organization accelerating the open ecosystem of big data solutions, today announced the first release of the ODPi Runtime Specification and test suite to ensure applications will work across multiple Apache Hadoop® distributions.

Designed to make it easier to create big data solutions and data-driven applications, the ODPi Runtime Specification is the first release from the industry-backed organization. While the Hadoop ecosystem is rapidly innovating, a certain degree of diversity and complexity are actually impeding adoption. Founded last year, more than 25 ODPi members are focused on simplification and standardization within the big data ecosystem and further advancing the work of the Apache Software Foundation.

Descending from Apache Hadoop 2.7, the Runtime Specification features HDFS, YARN, and MapReduce components and is part of the common reference platform ODPi Core.

“The turbulent big data market needs more confidence, more maturity, and less friction for both technology vendors and consumers alike,” said Nik Rouda, senior big data analyst at Enterprise Strategy Group (ESG). “ESG research found that 85% of those responsible for current Hadoop deployments believed that ODPi would add value.”

Key ODPi Runtime Specification Technical Features

The ODPi test framework and self-certification also aligns closely with the Apache Software Foundation by leveraging Apache BigTop for comprehensive packaging, testing, and configuration. Additionally, more than half the code in the latest Big Top release originated in ODPi.

All ODPi Runtime-Compliance tests are linked directly to lines in the ODPi Runtime Specification. To assist with compliance, in addition to the test suite, ODPi also provides a reference build.

The published specification also includes rules and guidelines on how to incorporate additional, non-breaking features, which are allowed provided source code is made available through relevant Apache community processes.

What’s Next for ODPi

The ODPi Operations Specification to help enterprises improve installation and management of Hadoop and Hadoop-based applications will be available later this year.  The Operations Specification covers Apache Ambari, the ASF project for provisioning, managing, and monitoring Apache Hadoop clusters.

“ODPi complements the work done in the Apache projects by filling a gap in the big data community in bringing together all members of the Hadoop ecosystem,” said John Mertic, senior manager of ODPi. “Our members – Hadoop distros, app vendors, solution providers, and end-users – are fully committed to leveraging Apache projects and utilizing feedback from real-world use cases to provide industry guidance on how Hadoop should be deployed, configured, and managed. We will continue to expand and contribute to innovation happening inside the Hadoop ecosystem.”

Comments from Members

Ampool

“With its broader, flexible approach to standardizing the Hadoop stack, ODPi is particularly attractive to smaller companies, such as Ampool. Instead of spending testing/qualification cycles across different distributions and respective versions, the reference implementation would really help reduce both the effort and risk of Hadoop integration for us.” – Milind Bhandarkar, Ph.D, founder and CEO, Ampool

DataTorrent

“ODPi will simplify developing and testing applications that work across distros and hence lower the cost of building Hadoop-based big data applications. For example, DataTorrent will be able to certify RTS installation and runtime for ODPi and know it will work with multiple platform providers.” – Thomas Weise, Apache Apex (incubating) PPMC member and architect/co-founder, DataTorrent

Hortonworks

“At Hortonworks, we aim to speed Hadoop adoption through ecosystem interoperability rooted in open source so enterprise customers can reap the benefits of increased choice with more modern data applications and solutions. As a founding member, we are pleased to see ODPi’s first release become available to the ecosystem and look forward to our continued involvement to accelerate the adoption of modern data applications.” – Alan Gates, co-founder, Hortonworks

IBM

“Big Data is the key to enterprises welcoming the cognitive era and there’s a need across the board for advancements in the Hadoop ecosystem to ensure companies can get the most out of their deployments in the most efficient ways possible. With the ODPi Runtime Specification, developers can write their application once and run it across a variety of distributions – ensuring more efficient applications that can generate the insights necessary for business change.” – Rob Thomas, vice president of product development, IBM Analytics

Linaro

“Linaro recognizes the importance of ODPi’s work to promote and advance the state of Apache Hadoop and Big Data technologies for the enterprise while minimizing fragmentation and redundant effort. Linaro’s own focus is similar to this in developing open source software for the ARM ecosystem and it makes perfect sense that where these two areas intersect that Linaro and ODPi should work together to ensure ARM is fully supported and that fragmentation is minimized across the industry.” – Martin Stadtler, director of the Linaro Enterprise Group (LEG)

Pivotal

“It was a little over a year ago that ODPi was formed, and we have already proved beneficial to upstream ASF projects (Hadoop, Bigtop, Ambari). There’s a need for a stable enterprise-grade platform that is managed as an industry asset to benefit all of the companies driving value from Hadoop and big data. This is why the first release of the ODPi Runtime Specification and test suite is so exciting. It is a big step toward realizing our goal of accelerating the delivery of business outcomes through big data solutions by driving interoperability on an enterprise-ready core platform.” – Roman Shaposhnik, director of Open Source at Pivotal, Apache Hadoop and Bigtop committer and ASF member

SAS

“As a founding member, SAS’s support of the Open Data Platform Initiative demonstrates our ongoing commitment to developing innovative applications and solutions for our customers that are compatible with the Hadoop ecosystem. ODPi enables us to remain committed to ensuring our applications work with and exploit the Hadoop distribution of our customers’ choice, while being able to bank on the stability and quality expected in demanding business environments.” – Craig Rubendall, vice president of platform R&D, SAS

Additional Resources

About ODPi

ODPi is a nonprofit organization committed to simplification and standardization of the big data ecosystem with a common reference platform called ODPi Core. As a shared industry effort, ODPi members represent big data technology, solution provider and end user organizations focused on promoting and advancing the state of Apache Hadoop® and big data technologies for the enterprise. For more information about ODPi, please visit: http://www.ODPi.org.

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Media Contact:

Natasha Woods
ODPi
(415) 312-5289
pr@odpi.org

ODPi Doubles Membership, Announces Technical Milestones and Open Governance Structure

By | Announcements | No Comments

Industry-wide effort to advance open standards for Apache Hadoop® attracts diverse representation from Big Data ecosystem, brings enterprise requirements and technical team to bear

NEW YORK (O’Reilly’s Strata Conference) and BUDAPEST (Apache: Big Data Conference), September 28, 2015 – ODPi, a nonprofit organization accelerating the delivery of Big Data solutions by powering a well-defined platform called ODPi Core, today announced new members, technical milestones, its formal governance structure and that it will be hosted at The Linux Foundation as a Collaborative Project.

The explosion of data and the requirements to store and process information has resulted in a variety of Big Data solutions. ODPi brings industry leaders together to accelerate the adoption of Apache Hadoop® and related Big Data technologies and make it easier to rapidly develop applications. This will be done through integration and standardization of a common reference platform that enables users to realize business results more quickly. ODPi will integrate a variety of upstream Apache projects, working across the Apache ecosystem to create a downstream reference platform on top of which new Big Data solutions can be built.

Membership investments in this effort have nearly doubled since ODPi was announced in February. Members to date represent a diverse group of Big Data solution providers and end users such as Altiscale, Ampool, Capgemini, CenturyLink, DataTorrent, EMC, GE, Hortonworks, IBM, Infosys, Linaro, NEC, Pivotal, PLDT, SAS Institute Inc, Splunk, Squid Solutions, SyncSort, Telstra, Teradata, Toshiba, UNIFi, VMware, WANdisco, Xiilab, zData and Zettaset.

“ODPi is a useful downstream project for the community to work on a common reference platform and set of technologies around Hadoop,” said Jim Zemlin, executive director at The Linux Foundation. “We’ve seen this model work with open source technologies experiencing rapid growth and know it can increase adoption and open up opportunities for innovation on top of an already strong Hadoop community.”

Technical milestones include the release of an initial ODPi core specification and reference implementation that simplifies upstream and downstream qualification efforts and has been created by developers from across the Big Data landscape. More than 35 maintainers from 25 companies are dedicated to this ongoing work to start. The planned ODPi Certification Program is also underway. The goal of ODPi Certification Programs will be to ensure consistency and compatibility across the Big Data ecosystem. To learn more about this technical progress, please visit: https://github.com/odpi or visit the ODPi.org website at http://ODPi.org

ODPi uses an open governance model that is led by a community of developers who will form a Technical Steering Committee (TSC) based on expertise and value of contribution. All members will have an equal vote on ODPi Core decisions, regardless of investment level, ensuring equality among all participants and an industry-wide consolidation of enterprise requirements. ODPi will also elect a Board of Directors responsible for the financial, legal and promotional aspects of ODPi.

ODPi will be featured at Strata+Hadoop World New York, Sept 29-October 1 where it will demonstrate the vision of one application running on many ODPI member distributions. An ODPi panel will be featured at Apache: Big Data in Budapest September 28-September 30, 2015

For more information about the ODPi, please visit: http://ODPi.org

ODPi is a Linux Foundation Collaborative Project, which are independently funded software projects that harness the power of collaborative development to fuel innovation across industries and ecosystems. By spreading the collaborative DNA of the largest collaborative software development project in history, The Linux Foundation provides the essential collaborative and organizational framework so project hosts can focus on innovation and results. For more information about Linux Foundation Collaborative Projects, please visit: http://collabprojects.linuxfoundation.org/

Member Comments

Altiscale
“The ODPi has made tremendous progress in a short amount of time. This rapid growth attests to the demand for standards in the rapidly evolving Hadoop ecosystem. Both customers and third party application providers can see greater value from Hadoop when they are confident that their developed solutions will run as broadly as possible,” said Raymie Stata, CEO of Altiscale, former CTO of Yahoo!, and core member of the ODPi Technical Working Group. “The Technical Working Group has been moving along speedily on Hadoop core, and we are already looking ahead to bring more projects into the standard specification.”

Ampool
“With the widespread adoption and importance of the Hadoop ecosystem within the enterprise, the ODPi standard platform is a very important and timely effort, and Ampool is excited to be participating. With ODPi, it will be clear what standards and level of support are expected for platforms, configuration, security, and interoperability in Hadoop distributions. We are confident that the ODPi effort will provide a solid base for further growth of Hadoop as the foundation of next generation data infrastructure,” said Milind Bhandarkar, Founder & CEO, Ampool Inc.

DataTorrent
“Our membership in ODPi demonstrates our commitment to spurring adoption and fostering support for the larger Hadoop ecosystem. As one of the earliest members to ODPi, we strongly believe in participating in a common framework to ensure that every enterprise has access to DataTorrent RTS for unified batch and streaming platform, no matter what Hadoop distribution,” said Phu Hoang, cofounder and CEO, DataTorrent.

EMC Corporation
“EMC is keenly interested in helping our customers build standardized environments for big data workloads. These environments are good for customers and good for the industry,” said Kelly Kanellakis, Senior Director, Business Operations, EMC Corporation. “ODPi builds exactly that through its efforts to create interchangeable Hadoop environments by working with customers and vendors in a collaborative way.”

GE
“GE Software is committed to advancing the Hadoop ecosystem to support the industrial requirements of managing, processing and extracting insights from big data at scale,” said Vince Campisi, CIO, GE Software. “The creation of a common platform certification and governance process under the ODPi is enabling us to more effectively deliver industrial-strength apps to our customers to tackle their big data challenges with confidence. With the help of ODPi we can achieve this at a low cost, while enabling our customers to also benefit from the productivity gains that the Industrial Internet has to offer. It is a win-win for everyone.”

Hortonworks
“At Hortonworks, we believe innovation happens not in isolation but in collaboration. We aim to speed Hadoop adoption through ecosystem interoperability rooted in open source so enterprise customers can reap the benefits of increased choice with more big data applications and solutions. As a founding ODPi member, we are pleased to see its significant strides toward these goals, all under an open and transparent governance model,” said Shaun Connolly, vice president of corporate strategy, Hortonworks.

IBM
“The power and appeal of open source innovation for technologies such as Hadoop is undeniable, especially when it comes to the growing volumes of data generated by social media, mobile devices, and machine-to-machine sensors,” said Beth Smith, General Manager, Analytics Platform, IBM Analytics. “In a recent report, IDC estimated that only 30 percent of clients have adopted Hadoop. Adoption is being constrained by complexity and a lack of standardization. IBM is fully committed, working with this community, to help drive speed-to-innovation for consistency and standardization in the development of smart business apps and accelerate the use of analytics across every business in a fundamental way.”

Infosys
“Through its platinum sponsorship of the ODPi Infosys is working with industry leaders to promote and advance the state of Apache Hadoop® and other enterprise big data technologies. Infosys also wants to grow the adoption of big data technologies in the enterprise by making significant improvements in areas like development and deployment tools, performance and security and is contributing these enhancements back to the community. One of our first contributions to the ODPi is the ODPi reference deployer that our team has built,” said Navin Budhiraja, SVP, Head of Architecture and Technology at Infosys Limited. “Infosys Information Platform (IIP), our open source data analytics platform, supports the ODPi core and the extensive use of open source in IIP reflects the commitment of Infosys to ODPi and the open source community. In addition, multiple other strategic initiatives at Infosys, such as our industry solutions in Banking, Aeronautics and Retail, the Infosys Automation Platform (IAP), and the Industrial Internet Consortium (IIC) testbeds for predictive maintenance are powered by IIP.”

Pivotal
“ODPi accelerates the delivery of Big Data solutions by providing a well-defined platform called ODPi Core, enabling enterprises to build transformative, personalized applications with data at their core. Pivotal’s technology and software development expertise transforms good companies into great software companies. Our collaboration with ODPi will usher a new era of open source Big Data solutions central to an enterprise customer’s digital transformation journey, by arming them with the ability to use data to foster meaningful engagement with their customers,” said Gavin Sherry, Vice President and CTO, Data, Pivotal

Teradata”Teradata is committed to accelerating enterprise adoption of Hadoop. ODPi plays an important role by testing and certifying the Apache Hadoop core. ODPi makes implementations easier and enterprise class –as well as enabling more software tools to work with Hadoop. We have been impressed by the progress ODPi has made towards these goals in such a short amount of time,” said Justin Borgman, VP/GM, Teradata Center for Hadoop.

UNIFi
“UNIFi is excited to be a part of the ODPi. We believe establishing standards and best practices to this rapidly innovating / evolving ecosystem of technology components will be a great step to enabling enterprises to become more data driven. Focusing on delivering value to the business is the promise of this movement and this consortium is furthering that goal,” said Sean Keenan, cofounder and vice president of products at UNIFi.

VMware
“VMware products and services help our customers deliver a consistent environment for building, running and managing any application including big data workloads. ODPi’s work on common, open source infrastructure to advance and accelerate big data adoption aligns well with VMware’s goal,” said Mark Lohmeyer, Vice President Products, Cloud Platform BU, VMware. “VMware is looking forward to participating in this pan-industry effort and advancing Big Data technologies for everyone.”

Xiilab
“Xiilab provides services and software based on Big Data. Our goal is for our users to feel there is no limit to what their application can accomplish. We hope to bring Hadoop and open source to the hands of the community so that the innovation may broaden the achievements of many. Being the first member from South Korea, we wish to have a symbiotic relationship with the community that will help deliver an accessible service to users across the globe,” said Xiilab CEO and President, Woo Young Lee.

zData Inc.
“As a Big Data solution provider, zData Inc. sees the inherent need for unification and collaborative supervision of this rapidly changing platform ecosystem. zData’s largest challenge in providing Hadoop Managed Services has been to successfully deliver a predictable level of service to our customers and partners while still keeping up with the latest community innovations from many disparate open source projects. The ODPi has the opportunity to become the unifying factor, pulling together resources across the entire eco-system, from vendors to customers, to focus on standardizing and unifying these Open Source technologies.”

Zettaset
“Security is still considered a major barrier to broader adoption of Hadoop in the enterprise. To address that problem, Zettaset is providing customers with a proven, commercial-grade, standards-compliant encryption solution which is performance-optimized for Big Data architectures encompassing Hadoop, NoSQL, and other databases while delivering the highest levels of data protection,” said CEO Jim Vogt of Zettaset. “Zettaset and its advanced big data security solutions are aligned with the ODPi for one simple reason.  With a standardized Hadoop distribution built around ODPi, customers now have a much more consistent and predictable technology foundation supported by a wide choice of long-standing systems vendors as well as specialized application providers like Zettaset.  Technology platform stability inherently reduces risk, giving customers greater confidence to deploy Hadoop as a mainstream solution in the enterprise.”

About The Linux Foundation The Linux Foundation is a nonprofit consortium dedicated to fostering the growth of Linux and collaborative software development. Founded in 2000, the organization sponsors the work of Linux creator Linus Torvalds and promotes, protects and advances the Linux operating system and collaborative software development by marshaling the resources of its members and the open source community. The Linux Foundation provides a neutral forum for collaboration and education by hosting Collaborative Projects, Linux conferences including LinuxCon, and generating original research and content that advances the understanding of Linux and collaborative software development. More information can be found at www.linuxfoundation.org.

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The Linux Foundation and Linux Standard Base are trademarks of The Linux Foundation. Linux is a trademark of Linus Torvalds.

Media Contact
Jennifer Cloer
The Linux Foundation
503-867-2304
Jennifer@Linuxfoundation.org